Population Data Report

Dataset statistics

Number of variables	10
Number of observations	6329
Missing cells	6937
Missing cells (%)	11.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	201.1 B

Variable types

Text	2
Numeric	7
Unsupported	1

Alerts

`avg_age` is highly overall correlated with `avg_age_men` and 1 other fields	High correlation
`avg_age_men` is highly overall correlated with `avg_age` and 1 other fields	High correlation
`avg_age_women` is highly overall correlated with `avg_age` and 1 other fields	High correlation
`men` is highly overall correlated with `population` and 1 other fields	High correlation
`population` is highly overall correlated with `men` and 1 other fields	High correlation
`women` is highly overall correlated with `men` and 1 other fields	High correlation
`municipality_code` has 76 (1.2%) missing values	Missing
`municipality_name` has 76 (1.2%) missing values	Missing
`population` has 76 (1.2%) missing values	Missing
`men` has 76 (1.2%) missing values	Missing
`women` has 76 (1.2%) missing values	Missing
`avg_age` has 76 (1.2%) missing values	Missing
`avg_age_men` has 76 (1.2%) missing values	Missing
`avg_age_women` has 76 (1.2%) missing values	Missing
`Unnamed: 9` has 6329 (100.0%) missing values	Missing
`population` is highly skewed (γ1 = 61.21251491)	Skewed
`men` is highly skewed (γ1 = 61.32708184)	Skewed
`women` is highly skewed (γ1 = 61.10206477)	Skewed
`Unnamed: 9` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2026-01-03 09:59:11.564478
Analysis finished	2026-01-03 09:59:22.154078
Duration	10.59 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

district_code
Text

Distinct	153
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	342.8 KiB

Length

Max length	25
Median length	6
Mean length	6.1063359
Min length	6

Characters and Unicode

Total characters	38647
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	78 ?
Unique (%)	1.2%

Sample

1st row	CZ0100
2nd row	Okres Benešov
3rd row	CZ0201
4th row	CZ0201
5th row	CZ0201

Value	Count	Frequency (%)
cz0643	187	2.9%
cz0635	174	2.7%
cz0634	167	2.6%
cz0647	144	2.2%
cz0632	123	1.9%
cz0633	120	1.9%
cz0631	120	1.9%
cz0207	120	1.9%
cz020b	119	1.9%
cz0641	116	1.8%
Other values (158)	5036	78.4%

Most occurring characters

Value	Count	Frequency (%)
0	7697	19.9%
C	6339	16.4%
Z	6255	16.2%
2	3705	9.6%
3	3376	8.7%
1	2440	6.3%
4	2232	5.8%
5	1875	4.9%
6	1753	4.5%
7	1157	3.0%
Other values (58)	1818	4.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38647	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	7697	19.9%
C	6339	16.4%
Z	6255	16.2%
2	3705	9.6%
3	3376	8.7%
1	2440	6.3%
4	2232	5.8%
5	1875	4.9%
6	1753	4.5%
7	1157	3.0%
Other values (58)	1818	4.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38647	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	7697	19.9%
C	6339	16.4%
Z	6255	16.2%
2	3705	9.6%
3	3376	8.7%
1	2440	6.3%
4	2232	5.8%
5	1875	4.9%
6	1753	4.5%
7	1157	3.0%
Other values (58)	1818	4.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38647	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	7697	19.9%
C	6339	16.4%
Z	6255	16.2%
2	3705	9.6%
3	3376	8.7%
1	2440	6.3%
4	2232	5.8%
5	1875	4.9%
6	1753	4.5%
7	1157	3.0%
Other values (58)	1818	4.7%

municipality_code
Real number (ℝ)

Missing

Distinct	6253
Distinct (%)	100.0%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	561865.08

Minimum	500011
Maximum	599999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	500011
5-th percentile	529640.8
Q1	542598
median	563536
Q3	581445
95-th percentile	596122.4
Maximum	599999
Range	99988
Interquartile range (IQR)	38847

Descriptive statistics

Standard deviation	23218.218
Coefficient of variation (CV)	0.041323476
Kurtosis	-0.67627247
Mean	561865.08
Median Absolute Deviation (MAD)	18808
Skewness	-0.29211376
Sum	3.5133423 × 10⁹
Variance	5.3908566 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
511161	1	< 0.1%
511021	1	< 0.1%
529541	1	< 0.1%
568449	1	< 0.1%
554782	1	< 0.1%
529303	1	< 0.1%
532568	1	< 0.1%
530743	1	< 0.1%
532380	1	< 0.1%
532096	1	< 0.1%
Other values (6243)	6243	98.6%
(Missing)	76	1.2%

Value	Count	Frequency (%)
500011	1	< 0.1%
500020	1	< 0.1%
500046	1	< 0.1%
500062	1	< 0.1%
500071	1	< 0.1%
500101	1	< 0.1%
500127	1	< 0.1%
500135	1	< 0.1%
500151	1	< 0.1%
500160	1	< 0.1%

Value	Count	Frequency (%)
599999	1	< 0.1%
599964	1	< 0.1%
599956	1	< 0.1%
599948	1	< 0.1%
599930	1	< 0.1%
599921	1	< 0.1%
599905	1	< 0.1%
599867	1	< 0.1%
599832	1	< 0.1%
599808	1	< 0.1%

municipality_name
Text

Missing

Distinct	5345
Distinct (%)	85.5%
Missing	76
Missing (%)	1.2%
Memory size	504.6 KiB

Length

Max length	33
Median length	30
Mean length	8.7804254
Min length	2

Characters and Unicode

Total characters	54904
Distinct characters	66
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4754 ?
Unique (%)	76.0%

Sample

1st row	Praha
2nd row	Benešov
3rd row	Bernartice
4th row	Bílkovice
5th row	Blažejovice

Value	Count	Frequency (%)
nad	195	2.5%
u	118	1.5%
horní	89	1.1%
dolní	77	1.0%
lhota	64	0.8%
ves	49	0.6%
pod	48	0.6%
nová	47	0.6%
újezd	44	0.6%
velké	26	0.3%
Other values (4941)	7106	90.4%

Most occurring characters

Value	Count	Frequency (%)
o	4895	8.9%
e	4793	8.7%
i	3040	5.5%
a	2997	5.5%
v	2934	5.3%
n	2799	5.1%
c	2659	4.8%
l	2008	3.7%
r	1943	3.5%
t	1687	3.1%
Other values (56)	25149	45.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	54904	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	4895	8.9%
e	4793	8.7%
i	3040	5.5%
a	2997	5.5%
v	2934	5.3%
n	2799	5.1%
c	2659	4.8%
l	2008	3.7%
r	1943	3.5%
t	1687	3.1%
Other values (56)	25149	45.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	54904	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	4895	8.9%
e	4793	8.7%
i	3040	5.5%
a	2997	5.5%
v	2934	5.3%
n	2799	5.1%
c	2659	4.8%
l	2008	3.7%
r	1943	3.5%
t	1687	3.1%
Other values (56)	25149	45.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	54904	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	4895	8.9%
e	4793	8.7%
i	3040	5.5%
a	2997	5.5%
v	2934	5.3%
n	2799	5.1%
c	2659	4.8%
l	2008	3.7%
r	1943	3.5%
t	1687	3.1%
Other values (56)	25149	45.8%

population
Real number (ℝ)

High correlation Missing Skewed

Distinct	2141
Distinct (%)	34.2%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	1733.762

Minimum	0
Maximum	1397880
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	90
Q1	223
median	452
Q3	987
95-th percentile	4475.6
Maximum	1397880
Range	1397880
Interquartile range (IQR)	764

Descriptive statistics

Standard deviation	19468.859
Coefficient of variation (CV)	11.229257
Kurtosis	4268.9918
Mean	1733.762
Median Absolute Deviation (MAD)	285
Skewness	61.212515
Sum	10841214
Variance	3.7903646 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
123	20	0.3%
162	18	0.3%
110	18	0.3%
183	16	0.3%
170	16	0.3%
374	15	0.2%
142	15	0.2%
213	14	0.2%
221	14	0.2%
134	14	0.2%
Other values (2131)	6093	96.3%
(Missing)	76	1.2%

Value	Count	Frequency (%)
0	4	0.1%
16	1	< 0.1%
19	1	< 0.1%
25	1	< 0.1%
28	2	< 0.1%
31	1	< 0.1%
33	1	< 0.1%
35	2	< 0.1%
36	1	< 0.1%
37	4	0.1%

Value	Count	Frequency (%)
1397880	1	< 0.1%
402739	1	< 0.1%
283187	1	< 0.1%
187928	1	< 0.1%
108090	1	< 0.1%
103063	1	< 0.1%
97231	1	< 0.1%
94311	1	< 0.1%
92319	1	< 0.1%
90866	1	< 0.1%

men
Real number (ℝ)

High correlation Missing Skewed

Distinct	1511
Distinct (%)	24.2%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	851.05757

Minimum	0
Maximum	679162
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	45.6
Q1	114
median	231
Q3	496
95-th percentile	2216.4
Maximum	679162
Range	679162
Interquartile range (IQR)	382

Descriptive statistics

Standard deviation	9452.3567
Coefficient of variation (CV)	11.106601
Kurtosis	4280.6051
Mean	851.05757
Median Absolute Deviation (MAD)	145
Skewness	61.327082
Sum	5321663
Variance	89347047
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
91	27	0.4%
82	26	0.4%
69	26	0.4%
102	25	0.4%
63	25	0.4%
111	24	0.4%
126	24	0.4%
112	24	0.4%
121	23	0.4%
71	23	0.4%
Other values (1501)	6006	94.9%
(Missing)	76	1.2%

Value	Count	Frequency (%)
0	4	0.1%
8	2	< 0.1%
15	2	< 0.1%
16	1	< 0.1%
17	3	< 0.1%
18	4	0.1%
19	5	0.1%
20	3	< 0.1%
21	7	0.1%
22	9	0.1%

Value	Count	Frequency (%)
679162	1	< 0.1%
195615	1	< 0.1%
137397	1	< 0.1%
90848	1	< 0.1%
51989	1	< 0.1%
48801	1	< 0.1%
46506	1	< 0.1%
45124	1	< 0.1%
44706	1	< 0.1%
44171	1	< 0.1%

women
Real number (ℝ)

High correlation Missing Skewed

Distinct	1537
Distinct (%)	24.6%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	882.70446

Minimum	0
Maximum	718718
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	44
Q1	109
median	224
Q3	490
95-th percentile	2271
Maximum	718718
Range	718718
Interquartile range (IQR)	381

Descriptive statistics

Standard deviation	10016.651
Coefficient of variation (CV)	11.347684
Kurtosis	4257.8036
Mean	882.70446
Median Absolute Deviation (MAD)	143
Skewness	61.102065
Sum	5519551
Variance	1.0033329 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	30	0.5%
45	29	0.5%
111	29	0.5%
50	27	0.4%
57	26	0.4%
70	25	0.4%
58	25	0.4%
82	25	0.4%
75	24	0.4%
61	24	0.4%
Other values (1527)	5989	94.6%
(Missing)	76	1.2%

Value	Count	Frequency (%)
0	4	0.1%
8	1	< 0.1%
9	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	3	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
17	3	< 0.1%

Value	Count	Frequency (%)
718718	1	< 0.1%
207124	1	< 0.1%
145790	1	< 0.1%
97080	1	< 0.1%
56101	1	< 0.1%
54262	1	< 0.1%
50725	1	< 0.1%
49187	1	< 0.1%
47613	1	< 0.1%
46695	1	< 0.1%

avg_age
Real number (ℝ)

High correlation Missing

Distinct	200
Distinct (%)	3.2%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	42.948761

Minimum	0
Maximum	64.3
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	38.8
Q1	41.4
median	42.9
Q3	44.4
95-th percentile	47.3
Maximum	64.3
Range	64.3
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8651128
Coefficient of variation (CV)	0.066710022
Kurtosis	34.465921
Mean	42.948761
Median Absolute Deviation (MAD)	1.5
Skewness	-1.6290455
Sum	268558.6
Variance	8.2088712
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.3	138	2.2%
42.6	130	2.1%
43	119	1.9%
41.8	115	1.8%
42.7	115	1.8%
42.9	114	1.8%
43.6	112	1.8%
43.4	110	1.7%
42.1	109	1.7%
43.8	109	1.7%
Other values (190)	5082	80.3%

Value	Count	Frequency (%)
0	4	0.1%
31.3	1	< 0.1%
32.2	1	< 0.1%
33	1	< 0.1%
33.2	1	< 0.1%
33.3	1	< 0.1%
33.6	2	< 0.1%
33.8	1	< 0.1%
33.9	2	< 0.1%
34.3	1	< 0.1%

Value	Count	Frequency (%)
64.3	1	< 0.1%
64.1	1	< 0.1%
61.7	1	< 0.1%
59.3	2	< 0.1%
58.5	1	< 0.1%
58.1	1	< 0.1%
57.2	2	< 0.1%
56.8	1	< 0.1%
56.3	1	< 0.1%
56	1	< 0.1%

avg_age_men
Real number (ℝ)

High correlation Missing

Distinct	221
Distinct (%)	3.5%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	42.049368

Minimum	0
Maximum	63.5
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	37.9
Q1	40.5
median	42
Q3	43.5
95-th percentile	46.6
Maximum	63.5
Range	63.5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.9599732
Coefficient of variation (CV)	0.070392809
Kurtosis	27.724203
Mean	42.049368
Median Absolute Deviation (MAD)	1.5
Skewness	-1.2968291
Sum	262934.7
Variance	8.7614411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42.2	135	2.1%
41.9	133	2.1%
42.3	130	2.1%
41.4	124	2.0%
42	118	1.9%
41.2	117	1.8%
41.8	116	1.8%
41.3	114	1.8%
42.4	112	1.8%
42.5	109	1.7%
Other values (211)	5045	79.7%

Value	Count	Frequency (%)
0	4	0.1%
30.7	1	< 0.1%
31.1	1	< 0.1%
31.2	1	< 0.1%
31.8	1	< 0.1%
32	1	< 0.1%
32.1	1	< 0.1%
32.2	1	< 0.1%
32.4	1	< 0.1%
32.7	1	< 0.1%

Value	Count	Frequency (%)
63.5	1	< 0.1%
58.6	1	< 0.1%
57.6	2	< 0.1%
57.4	1	< 0.1%
56.7	1	< 0.1%
56.4	1	< 0.1%
56	1	< 0.1%
55.5	1	< 0.1%
55.4	1	< 0.1%
54.8	1	< 0.1%

avg_age_women
Real number (ℝ)

High correlation Missing

Distinct	232
Distinct (%)	3.7%
Missing	76
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	43.8913

Minimum	0
Maximum	68.2
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	49.6 KiB

Quantile statistics

Minimum	0
5-th percentile	39.2
Q1	42
median	43.8
Q3	45.7
95-th percentile	48.7
Maximum	68.2
Range	68.2
Interquartile range (IQR)	3.7

Descriptive statistics

Standard deviation	3.3104366
Coefficient of variation (CV)	0.075423525
Kurtosis	22.299383
Mean	43.8913
Median Absolute Deviation (MAD)	1.8
Skewness	-0.90152471
Sum	274452.3
Variance	10.95899
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.9	109	1.7%
43.1	106	1.7%
43.4	106	1.7%
44	103	1.6%
43.6	102	1.6%
44.2	97	1.5%
44.6	95	1.5%
43.3	93	1.5%
43.7	92	1.5%
44.4	92	1.5%
Other values (222)	5258	83.1%

Value	Count	Frequency (%)
0	4	0.1%
31.6	1	< 0.1%
31.8	1	< 0.1%
32.7	1	< 0.1%
33.1	1	< 0.1%
33.4	2	< 0.1%
33.5	2	< 0.1%
33.7	2	< 0.1%
33.9	2	< 0.1%
34.1	2	< 0.1%

Value	Count	Frequency (%)
68.2	1	< 0.1%
68	1	< 0.1%
66.2	1	< 0.1%
65.1	1	< 0.1%
64.8	1	< 0.1%
62.9	1	< 0.1%
61	1	< 0.1%
60	1	< 0.1%
59.7	1	< 0.1%
59.5	1	< 0.1%

Unnamed: 9
Unsupported

Missing Rejected Unsupported

Missing	6329
Missing (%)	100.0%
Memory size	49.6 KiB

	avg_age	avg_age_men	avg_age_women	men	municipality_code	population	women
avg_age	1.000	0.881	0.896	-0.110	0.031	-0.111	-0.112
avg_age_men	0.881	1.000	0.608	-0.187	0.016	-0.185	-0.182
avg_age_women	0.896	0.608	1.000	-0.034	0.051	-0.039	-0.044
men	-0.110	-0.187	-0.034	1.000	-0.023	0.999	0.996
municipality_code	0.031	0.016	0.051	-0.023	1.000	-0.024	-0.025
population	-0.111	-0.185	-0.039	0.999	-0.024	1.000	0.999
women	-0.112	-0.182	-0.044	0.996	-0.025	0.999	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	district_code	municipality_code	municipality_name	population	men	women	avg_age	avg_age_men	avg_age_women	Unnamed: 9
0	CZ0100	554782.0	Praha	1397880.0	679162.0	718718.0	41.9	40.4	43.3	NaN
1	Okres Benešov	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	CZ0201	529303.0	Benešov	17043.0	8058.0	8985.0	43.9	42.2	45.4	NaN
3	CZ0201	532568.0	Bernartice	223.0	102.0	121.0	45.2	46.0	44.5	NaN
4	CZ0201	530743.0	Bílkovice	225.0	113.0	112.0	45.8	45.6	46.0	NaN
5	CZ0201	532380.0	Blažejovice	102.0	50.0	52.0	49.8	47.8	51.8	NaN
6	CZ0201	532096.0	Borovnice	91.0	42.0	49.0	41.2	38.3	43.7	NaN
7	CZ0201	532924.0	Bukovany	824.0	429.0	395.0	41.0	40.7	41.3	NaN
8	CZ0201	529451.0	Bystřice	4698.0	2361.0	2337.0	42.1	41.1	43.0	NaN
9	CZ0201	532690.0	Ctiboř	179.0	86.0	93.0	35.8	37.7	34.1	NaN

	district_code	municipality_code	municipality_name	population	men	women	avg_age	avg_age_men	avg_age_women	Unnamed: 9
6319	CZ0806	599549.0	Klimkovice	4454.0	2183.0	2271.0	43.1	41.8	44.4	NaN
6320	CZ0806	554049.0	Olbramice	735.0	377.0	358.0	42.0	40.5	43.5	NaN
6321	CZ0806	554821.0	Ostrava	283187.0	137397.0	145790.0	43.9	42.0	45.7	NaN
6322	CZ0806	598739.0	Stará Ves nad Ondřejnicí	2992.0	1497.0	1495.0	42.4	41.1	43.7	NaN
6323	CZ0806	598798.0	Šenov	6639.0	3275.0	3364.0	43.4	42.4	44.5	NaN
6324	CZ0806	598836.0	Václavovice	2136.0	1058.0	1078.0	42.4	41.6	43.1	NaN
6325	CZ0806	510882.0	Velká Polom	2194.0	1075.0	1119.0	41.4	40.9	41.9	NaN
6326	CZ0806	598879.0	Vratimov	7434.0	3654.0	3780.0	42.8	41.4	44.1	NaN
6327	CZ0806	500291.0	Vřesina	2820.0	1410.0	1410.0	44.6	43.5	45.8	NaN
6328	CZ0806	568449.0	Zbyslavice	664.0	337.0	327.0	42.5	41.2	43.8	NaN

Overview

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(unknown)

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Most occurring characters

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Most frequent character per block

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Interactions

Correlations

Missing values

Sample

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample